Contribution of Production Support System to Reinforce Process Resilience in the Chemical Industry

被引:0
|
作者
Eguchi, Hajime [1 ]
Nyambayar, Davaadorj [1 ]
Koshijima, Ichiro [1 ]
机构
[1] Nagoya Inst Technol, Dept Social Engn, Showa Ku, Gokiso Cho, Nagoya, Aichi, Japan
关键词
HUMAN SKILLS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The chemical industry can be defined as a typical type of plant industry. As it is impossible to see inside of a plant directly, a system; PSS (Production Support System) that enables to monitor a process status with sensors is applied. Since it costs to implement PSS, a company checks the reasonability of the amount of investment from the viewpoints of resource saving, energy saving and man-power saving by estimation of effects provided by PSS. The company tends to rely on the manpower saving out of these three kinds of saving though such man-power saving causes a decline of total skills in a production process plant. This situation brings a risk of occurrence of many issues in the process plant. Actually, in the industry, the resilience of production process is worthy of notice as a capacity to restrain a lot of disruptive signals. The process resilience is generated by 1) Production plant personnel, 2) PSS, and 3) Production unit. It is necessary to prevent accidents and some troubles to execute the production activity. Especially the level of skills and knowledge of the production plant personnel are mostly concerned with the process resilience. If margin time can be produced due to PSS, it will be devoted to educating and training the production plant personnel. As a result, the process resilience will be reinforced.
引用
收藏
页码:400 / 405
页数:6
相关论文
共 50 条
  • [22] A virtual experiment for measuring system resilience: A case of chemical process systems
    Sun, Hao
    Yang, Ming
    Wang, Haiqing
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 228
  • [23] Advancement and Transfer of Skills by Reciprocal Interaction of Human Skills and Techniques via a Production Support System in the Chemical Industry
    Eguchi, Hajime
    O'Donovan, Donal
    JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, 2010, 43 (05) : 435 - 442
  • [24] A DMS to Support Industrial Process Decision-Making: a contribution under Industry 4.0
    Pereira, M. T.
    Silva, A.
    Ferreira, L. P.
    Sa, J. C.
    Silva, F. J. G.
    29TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM 2019): BEYOND INDUSTRY 4.0: INDUSTRIAL ADVANCES, ENGINEERING EDUCATION AND INTELLIGENT MANUFACTURING, 2019, 38 : 613 - 620
  • [25] Connecting strategic thinking with product innovativeness to reinforce NPD support process
    Kazmi, Syeda Asiya Zenab
    Naaranoja, Marja
    Kytola, Juha
    Kantola, Jussi
    12TH INTERNATIONAL STRATEGIC MANAGEMENT CONFERENCE, ISMC 2016, 2016, 235 : 672 - 684
  • [26] Development and application of process management system for coal chemical industry
    Zhang, Quanling
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 6709 - 6713
  • [27] AN INTERACTIVE DECISION SUPPORT SYSTEM FOR ENERGY AND CHEMICAL-INDUSTRY PROJECTS
    BARNIKOW, A
    BEHRENDT, U
    HARTMANN, K
    SCHARNI, M
    SYSTEMS ANALYSIS MODELLING SIMULATION, 1990, 7 (10): : 797 - 805
  • [28] INTELLIGENT OPERATION SUPPORT SYSTEM FOR BATCH CHEMICAL PULPING PROCESS
    RAO, M
    CORBIN, J
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 1993, 6 (04) : 357 - 380
  • [29] Egide: A design support system for conceptual chemical process design
    BanaresAlcantara, R
    King, JMP
    Ballinger, GH
    AI SYSTEM SUPPORT FOR CONCEPTUAL DESIGN, 1996, : 138 - 152
  • [30] A Decision Support System for Supporting Strategic Production Allocation in the Automotive Industry
    Fadda, Edoardo
    Perboli, Guido
    Rosano, Mariangela
    Mascolo, Julien Etienne
    Masera, Davide
    SUSTAINABILITY, 2022, 14 (04)